LinkedIn, the world's largest professional network with over 1 billion members globally, is seeking a Staff Software Engineer to join their Data Science team. This role is part of the technical foundation team, an engineering group embedded within data science teams, responsible for developing robust data foundations and tooling to empower data scientists and cross-functional teams.
The position offers a hybrid work environment, allowing flexibility between remote work and office presence at LinkedIn's Sunnyvale location. The role combines technical leadership with hands-on development, focusing on building scalable data solutions that drive member engagement, business growth, and monetization efforts.
As a Staff Software Engineer, you'll work on projects ranging from building data foundations to developing generalized tools and streamlining complex analyses. The role offers unique opportunities to work end-to-end on new initiatives and build data solutions from the ground up. You'll collaborate closely with data scientists, AI teams, Product Managers, and other engineers to tackle diverse challenges.
Key responsibilities include prototyping and validating tools for large dataset analysis, establishing efficient design patterns, and contributing to engineering innovations. The ideal candidate should have 5+ years of industry experience, strong programming skills (particularly in Python, Java, or Scala), and extensive experience with SQL and data pipelines.
LinkedIn offers a comprehensive benefits package including medical, dental, and vision insurance, 401(k), parental leave, and commuter benefits. The compensation range is competitive at $147,000 to $240,000 per year, plus potential performance bonuses and stock benefits. The company's commitment to diversity, inclusion, and work-life balance makes it an attractive destination for talented engineers looking to make a significant impact in the professional networking space.
This role presents an excellent opportunity for experienced engineers passionate about data science to work with cutting-edge technologies while solving complex challenges at scale. You'll be part of a team that directly influences how millions of professionals connect, learn, and advance their careers worldwide.